Abstract
Abstract. The setup of a human computer interaction electrooculography
(EOG) measurement trail for developing pattern recognition algorithms is described. With an easy to wear EOG measurement device we relized
performance tests with a group of normal individuals as well as with one individual suffering from multiple sclerosis (MS). The individuals had to perform different eye movement patterns for coding information to control the environment. Different patterns of recognition in the time domain have been tried and implemented to perform online performance tests. The aim is to develop an EOG based communication device passed on pattern recognition algorithms for user with limited functionality.
| Original language | English |
|---|---|
| Title of host publication | Universal Access in HCI, Part II |
| Editors | C Stephanidis |
| Pages | 769-776 |
| Number of pages | 8 |
| Publication status | Published - 2007 |
| Event | HCI 2007 International, 12th International Conference on Human-Computer Interaction - Duration: 1 Jan 2007 → … |
Conference
| Conference | HCI 2007 International, 12th International Conference on Human-Computer Interaction |
|---|---|
| Period | 1/01/07 → … |
Research Field
- Not defined
Keywords
- Electrooculography
- EOG
- pattern recognition
- human computer interface.